Results 71 to 80 of about 18,908 (211)
Quadrature Kalman filter–based state of charge estimation for lithium-ion battery
Advances in Mechanical Engineering, 2020 This article presents an approach to lithium-ion battery state of charge estimation based on the quadrature Kalman filter. Among the existing state of charge estimation approaches, the extended Kalman filter–based state of charge and unscented filter ...
Mengtao Huang +4 more
doaj +1 more source
A New Approach to Linear/Nonlinear Distributed Fusion Estimation Problem
, 2018 Disturbance noises are always bounded in a practical system, while fusion estimation is to best utilize multiple sensor data containing noises for the purpose of estimating a quantity--a parameter or process.
Chen, Bo +3 more
core +1 more source
Battery Energy, Volume 5, Issue 1, January 2026.A multi‐side‐reaction electrochemical model is developed to predict lithium‐ion battery degradation under high temperatures, incorporating SEI growth, electrode cracking, and electrolyte oxidation. The model shows strong agreement with experimental results, enabling accurate cycle life prediction and identification of dominant aging mechanisms ...
Fei Chen +11 more
wiley +1 more source
Battery Energy, Volume 5, Issue 1, January 2026.The rise of renewable energy sources is accompanied with a depletion of raw materials used in batteries. The project summarized in this paper presents a system aiming to estimate the SOC and SOH of Lithium‐Ion Battery. This is achieved Using Mixed H∞/H2 Control with Sliding Mode Observer.
Chadi Nohra +4 more
wiley +1 more source
A Dynamic State-of-Charge Estimation Method for Electric Vehicle Lithium-Ion Batteries
Energies, 2019 With the increasing environmental concerns, plug-in electric vehicles will eventually become the main transportation tools in future smart cities. As a key component and the main power source, lithium-ion batteries have been an important object of ...
Xintian Liu +4 more
doaj +1 more source
Rao-Blackwellized particle smoothers for conditionally linear Gaussian models
, 2015 Sequential Monte Carlo (SMC) methods, such as the particle filter, are by now one of the standard computational techniques for addressing the filtering problem in general state-space models.
Bunch, Pete +4 more
core +1 more source
Safety Considerations in Deployment of Robotic Systems – A Systematic Review
Journal of Field Robotics, Volume 43, Issue 1, Page 5-33, January 2026.ABSTRACT An in‐depth understanding of the risks related to robotic systems is crucial to guarantee safety throughout all stages of robot design and operations. This required a thorough risk assessment following international standards. This study presents a systematic review of previous research on safety considerations in the design of robotic systems,
Adedire D. Adesiji +6 more
wiley +1 more source
The Journal of Engineering, 2018 Battery management systems (BMS) are widely used in energy storage systems and electric vehicles. The precise estimation of state-of-charge is a key factor affecting the performance of BMS.
Shengwei Gao +3 more
doaj +1 more source
IET Energy Systems Integration, Volume 8, Issue 1, January/December 2026.ABSTRACT To solve the complex scenarios, such as multimodal noise, bad measurement data and sudden load changes, in the power system, the enhanced generalised cross correlation entropy unscented Kalman filter (EnGCCE‐UKF) method is proposed in this paper.
Liangzheng Wu +3 more
wiley +1 more source
An Improved Unscented Kalman Filter Algorithm for Radar Azimuth Mutation
International Journal of Aerospace Engineering, 2020 An improved UKF (Unscented Kalman Filter) algorithm is proposed to solve the problem of radar azimuth mutation. Since the radar azimuth angle will restart to count after each revolution of the radar, and when the aircraft just passes the abrupt angle ...
Dazhang You +5 more
doaj +1 more source